Senior Machine Learning Data Engineer

BlueOptima is on a mission to maximise the economic and social value that software engineering organisations are capable of delivering Our vision is to become the global reference for the optimisation of the performance of Software Engineering Our technology is used by some of the world s largest organisations including nine of the world s top twelve Universal Banks and a number of large corporates We are a global organisation with headquarters in London and additional offices in India Mexico and the US We are made up of 100 individuals from more than 20 different countries We promote an open minded environment and encourage our employees to create their own success story in this high-performance environmentLocation Bangalore India Department EngineeringJob Summary BlueOptima has a truly unique collection of vast datasets relating to the changes that software developers make in source code when working in an enterprise software development environment As a Senior Machine Learning Data Engineer you will take problems and ideas from our clients and customer support teams analyze what would be involved whether the solution will solve the underlying problem and plan and develop solutions with a small team Ensuring the team is able to deliver the solutions you have planned in the required time You should be able to provide your own ideas or problems that we are well-positioned to tackle As with many problems within the Data Engineering space defining effective pipelines to gather curate and manage the data is as important as selecting the best approach using ML techniques You will take responsibility for managing the end-to-end process this means that you will own and plan the initial exploration of the data the development of a solution design the requirements for ongoing monitoring of the solution once it is released and tackle any issues that arise from the solution Solution ownership is a fundamental part of the role and it is expected that you would not only take this for the solutions you develop but support others to own and take responsibility for the solutions they are involved in With support from other senior members of the wider team you will take responsibility for supporting the work of a small group of Data Engineers ensuring that they can deliver effective solutions on time This will include supporting their progression and utilizing the tools that BlueOptima provides You will use tools ranging from advanced Machine Learning algorithms to Statistical approaches and will be able to select the best tool for the job This means both being able to suggest cutting-edge approaches to problems and just as importantly identifying when a simpler approach will provide an effective solution Your team The Data Engineering team at BlueOptima accelerates value delivery for internal and external stakeholders by providing production-ready solutions actionable insights We cater to all products within BlueOptima supercharging their success through data-driven innovation You will be working hand-to-hand with a diverse team with a variety of skill sets across the fields of Data Analytics Machine learning Artificial intelligence The majority of the team is currently based out of our Bangalore office Responsibilities and tasks Solve business problems using advanced Machine Learning and statistical techniques Led a small team of Machine Learning Data Engineers providing technical leadership to mid junior-level team members Coordinate with internal and external stakeholders to understand requirements and opportunities to add value Identify opportunities to add value using Machine Learning across the business Identify and work to resolve bottlenecks in skills technology and processes restricting the team s ability to deliver excellence Exploring vast datasets both structured and unstructured Foster a culture of ownership Ensuring others own the final solution coordinating with different teams including engineering and client-side teams to take a solution from exploratory analysis to deployed in production Facilitate taking solutions into production through active participation with the internal development teams Spec the requirements to solve a problem identify the critical path and timelines and be able to give clear and defensible estimates quantifying any uncertainty Takes data-driven approaches to validate assumptions issues and track progress on changes being implemented What You Need to Succeed at BlueOptima Minimum of 4 years experience in developing solutions with at least 3 years using Machine learning Algorithms in industry Experience in leading and managing a team of ML Data Engineers An in-depth understanding of a wide range of Machine Learning techniques and an understanding of which approach is best suited for the problem at hand structured and ill-structured Strong statistical analytics skills demonstrated through data engineering or similar experience Strong Python programming expertise in both applications and scripting simple solutions A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product Strong written and verbal communication skills Strong interpersonal and time management skills Good to have Technical requirements Previous experience Significant experience with NLP techniques Experience working with managing software vulnerabilities in a coding environment An understanding of defensive coding practises Experience with automating tasks to maximise time for more important problems Experience with PostgreSQL or similar Rational Database Experience with Data Visualisation experience via Grafana Superset Tableau or similar is preferable Be comfortable explaining very technical concepts to non-expert people Your career progression At BlueOptima we strive to strengthen your skills widen your scope of work and develop your career fast For this role you would have a choice in how you want to progress with us either become a more technical expert or taking on a larger team and a greater range of projects to manage QualificationsMinimum Bachelor s degree in Computer Science Statistics Mathematics or equivalent Additional InformationWhy join our teamCulture and Growth Global team with a creative innovative and welcoming mindset Rapid career growth and opportunity to be an outstanding and visible contributor to the company s success Freedom to create your own success story in a high-performance environment Training programs and Personal Development Plans for each employee Benefits 32 days of holidays this includes public and religious holidays Contributions to your Provident Fund which can be matched by the company above the statutory minimum as agreed Gratuity payments Private Medical Insurance provided by the company Employee Spouse 2 Children 2 Parents 12 Weeks Paid Paternity Leave 6 months Maternity leave Support with childcare costs 50 Work from Home Equipment allowance Flexible Work from Home policy - 2 days home p w Flexible Work from Long Distance - 4 weeks a year Sponsored Learning Opportunities Team Socials Stay connected with us on or keep an eye on our for future opportunities